Compounds and methods to target transmembrane domain of membrane proteins (e.g., APPTM) to inhibit intramembrane proteolysis

Intramembrane proteolytic cleavage is an important process in a number of signaling pathways and pathologies. One of the best-known is that of Alzheimer’s Disease (AD), where the gamma-secretase enzyme cleaves amyloid precursor protein (APP) to create free amyloid. This free amyloid accumulates to form amyloid plaques during the later stages of the disease. New drugs are urgently needed to address AD and the disclosed compound represents such potential drug. This technology is a compound that can bind and covalently modify the transmembrane (TM) domain of the amyloid precursor protein.

Acceleration of the UV Curing of Oxetane Monomers

New processes are proposed for preparation of novel, highly reactive, renewable substrate oxetane polymers, making it possible to use cationic oxetane photopolymerizations in many high-speed coatings, printing inks, adhesives, as well as in additive manufacturing processes such as stereolithography, digital imaging and in ink-jet printing. Specifically, an epoxide accelerant, such as 2,2-substituted epoxide, 2,2,3-substituted epoxide, 2,2,3,3-substituted epoxide, and mixtures thereof, is reacted with one or more equivalents of a 3-monosubstituted oxetane or a 3,3-disubstituted oxetane.

Machine learning to correct for nonphotochemical quenching in high-frequency, in vivo fluorometer data

Nonphotochemical quenching (NPQ) is a response mechanism in plants and algae that allows them to process and dissipate excess excitation energy as heat safely. Collecting fluorescence data from these plants and algae in surface water environments can incur errors from NPQ, ultimately leading to inaccurate calculations of chlorophyll concentration for environmental and industrial water quality monitoring. Rensselaer inventors developed a novel approach to correcting NPQ-skewed fluorescence data by employing trained machine-learning modules that can be applied to fluorescence detection system

Novel nanocomposite fibers with a dramatic reduction in human plasma coagulation time

Rensselaer inventors created a nanocomposite fiber that promotes quick coagulation during hemorrhage resulting in reduced mobility and improved survival. The nanofiber composite is comprised of halloysite nanoclay, a natural occurring aluminosilicate nanoclay that exhibits a hollow tubular scroll structure. Hemostatic products on the market are effective in the short-term but might lack the ability to provide prolonged clotting activity. The disclosed technology overcomes these limitations as the nanoclay is physically imbedded onto the surface of the nanofibers.

UNAFold version 4.0

Based on the famous ""mfold"", the UNAFold software package is an integrated collection of programs that simulate nucleic acid folding and hybridization, and its melting pathways for one or two single-stranded molecules. The package predicts folding for single-stranded RNA or DNA through combination of free energy minimization, partition function calculations and stochastic sampling. For melting simulations, the package computes entire melting profiles, not just melting temperatures.

Use of HCV NS3/4A Protease Inhibitors as Therapeutics for COVID-19

The SARS-CoV-2 virus continues to cause major issues around the globe. Thus, effective therapeutics are critically needed to help better control the virus. Researchers at RPI and collaborating institutions have identified HCV protease inhibitor drugs that may be viable SARS-CoV-2 antivirals. These researchers have used the 3D structure of the SARS-CoV-2 protease to evaluate the potential for 12 FDA-approved HCV drugs to inhibit the SARS-CoV-2 protease.

RECON

RECON is an algorithm for the rapid reconstruction of molecular charge densities and charge density-based electronic properties of molecules, using atomic charge density fragments precomputed from ab initio wave functions. The method is based on Bader's quantum theory of Atoms in Molecules. A library of atomic charge density fragments has been built in a form that allows for the rapid retrieval of the fragments and molecular assembly.

Curcumin and Curcuminoid Compounds, and Use Thereof as Photosensitizers of Onium Salts

Present microelectronic photoimaging applications employ onium salts for deep UV (I-line, 365 nm) photolithography. Since most onium salts do not absorb at this wavelength, photosensitizers are commonly employed. Polynuclear aromatic hydrocarbons are the most efficient known examples of electron-transfer photosensitizers for onium salts. However, they have serious drawbacks that limit their use, such as they are expensive, toxis, and poorly soluable in most reactive monomers and polymer systems.

Siloxane Monomers and Oligomers

Interest and research activity in the photoinitiated cationic crosslinking polymerizations of multifunctional epoxide and oxetanes monomers have increased rapidly as this technology has found broad use in many industrial applications. However, while the synthesis of current epoxy-functional siloxanes yields monomers that undergo efficient cationic ring-opening photopolymerization to give crosslinked materials with excellent thermal and chemical resistance, they produce hard, brittle, glass-like materials with little elongation and flexibility.